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How to use relevant data for maximal benefit with minimal risk: digital health data governance to protect vulnerable populations in low-income and middle-income countries
  1. Nicki Tiffin1,2,3,
  2. Asha George4,
  3. Amnesty Elizabeth LeFevre5,6
  1. 1Wellcome Centre for Infectious Disease Research in Africa, University of Cape Town, Cape Town, South Africa
  2. 2Computational Biology Division, University of Cape Town, Cape Town, South Africa
  3. 3Centre for Infectious Disease Epidemiology and Research, Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
  4. 4School of Public Health, University of the Western Cape Faculty of Community and Health Sciences, Cape Town, South Africa
  5. 5Division of Epidemiology and Biostatistics, Public Health and Family Medicine, University of Cape Town, Rondebosch, South Africa
  6. 6Department of International Health, JohnsHopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
  1. Correspondence to Professor Nicki Tiffin; nicki.tiffin{at}uct.ac.za

Abstract

Globally, the volume of private and personal digital data has massively increased, accompanied by rapid expansion in the generation and use of digital health data. These technological advances promise increased opportunity for data-driven and evidence-based health programme design, management and assessment; but also increased risk to individuals of data misuse or data breach of their sensitive personal data, especially given how easily digital data can be accessed, copied and transferred on electronic platforms if the appropriate controls are not implemented. This is particularly pertinent in low-income and middle-income countries (LMICs), where vulnerable populations are more likely to be at a disadvantage in negotiating digital privacy and confidentiality given the intersectional nature of the digital divide. The potential benefits of strengthening health systems and improving health outcomes through the digital health environment thus come with a concomitant need to implement strong data governance structures and ensure the ethical use and reuse of individuals’ data collected through digital health programmes. We present a framework for data governance to reduce the risks of health data breach or misuse in digital health programmes in LMICS. We define and describe four key domains for data governance and appropriate data stewardship, covering ethical oversight and informed consent processes, data protection through data access controls, sustainability of ethical data use and application of relevant legislation. We discuss key components of each domain with a focus on their relevance to vulnerable populations in LMICs and examples of data governance issues arising within the LMIC context.

  • digital health
  • mHealth
  • consent
  • governance
  • ethics
  • LMICs
  • low and middle income countries

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Footnotes

  • Handling editor Seye Abimbola

  • Contributors NT wrote this first draft of this manuscript with inputs from AEL and AG. All authors approved the final text.

  • Funding This work was financially supported by the Bill & Melinda Gates Foundation through a grant to the Countdown to 2030 for women’s, children’s and adolescents’ health. AG is supported by Health Systems Extra Mural Unit funded by the South African Medical Research Council and the South African Research Chair's Initiative of the Department of Science and Technology and National Research Foundation of South Africa (Grant No. 82769). NT is supported by Wellcome (203135/Z/16/Z) and the National Institutes of Health (awards H3ABioNet: R01HD080465 and B-Positive: U24HG006941).

  • Disclaimer The funder had no role in the conceptualisation of the paper or in the material presented. Any opinion, finding and conclusion or recommendation expressed in this material is that of the author and the NRF does not accept any liability in this regard.

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.